Distance variable improvement of time-series big data stream evaluation

Distance variable improvement of time-series big data stream evaluation

Abstract Real-time information mining of a big dataset consisting of time series data is a very challenging task. For this purpose, we propose using the mean distance and the standard deviation to enhance the accuracy of the existing fast incremental model tree with the drift detection (FIMT-DD) alg...

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Bibliographic Details
Main Authors: Ari Wibisono, Petrus Mursanto, Jihan Adibah, Wendy D. W. T. Bayu, May Iffah Rizki, Lintang Matahari Hasani, Valian Fil Ahli
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:Journal of Big Data
Subjects:
Intelligent Systems
Data stream
Distance improvement
Big data regression
Online Access:http://link.springer.com/article/10.1186/s40537-020-00359-w

Internet

http://link.springer.com/article/10.1186/s40537-020-00359-w

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